Department of Stomatology, First People's Hospital of Yongkang City, Yongkang City, Zhejiang Province, China.
Department of Internal Medicine-Cardiovascular Department Xiangyang No. 1 People'sHospital, Hubei University of Medicine, Xiangyang 441000, China.
J Healthc Eng. 2022 Mar 23;2022:6505672. doi: 10.1155/2022/6505672. eCollection 2022.
Plaque is a bacterial biofilm that adheres to each other and exists on the tooth surface, and new plaque can continuously reform after removing it from the tooth surface. The pathogenesis of periodontal disease is related to the bacteria, the host and the environment, with the bacteria and bacterial products in plaque being the main initiators of periodontal disease. The effective control of plaque is an effective method for the treatment and prevention of periodontal disease and is often underappreciated in clinical practice. For the traditional diagnostic method through experience and visual observation, it may lead to misdiagnosis and underdiagnosis. In order to accurately diagnose plaque disease, this study designed a convolutional neural network-based oral dental disease diagnosis system for oral care interventions to improve oral health awareness. Thus motivate patients to implement proper oral health care measures, and continuously and lifelong insist on thorough daily plaque removal to improve patients' physical health and quality of life in periodontal disease patients.
牙菌斑是一种细菌生物膜，彼此黏附，并存在于牙齿表面，在从牙齿表面去除后，新的牙菌斑可以不断重新形成。牙周病的发病机制与细菌、宿主和环境有关，菌斑中的细菌及其产物是牙周病的主要启动因子。有效控制牙菌斑是治疗和预防牙周病的有效方法，但在临床实践中往往被低估。对于传统的通过经验和视觉观察的诊断方法，可能会导致误诊和漏诊。为了准确诊断牙菌斑疾病，本研究设计了一种基于卷积神经网络的口腔牙科疾病诊断系统，用于口腔护理干预，以提高口腔健康意识。从而促使患者实施适当的口腔保健措施，并持续和终身坚持彻底的日常牙菌斑清除，以改善牙周病患者的身体健康和生活质量。
